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Perhaps related: should "machine learning" (as part of the first bullet) be made more specific? Is it machine learning for any use or specific uses? Based on that, we can attract the right experts. (Seems this is what #4 proposes.)
We invited two experts in statistics / machine learning aspects of Data Science, but unfortunately they both declined. If you know other good candidates for that, write me an email and we will consider inviting them to the editorial board.
Do we need more statistics / machine learning people in the editorial board?
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